Triple
T4257642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saybrook College |
E96017
|
entity |
| Predicate | foundedAsCollege |
P54995
|
FINISHED |
| Object | 1933 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1933 | Statement: [Saybrook College, foundedAsCollege, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsCollege Context triple: [Saybrook College, foundedAsCollege, 1933]
-
A.
foundedAsUniversityIn
Indicates that an institution was originally established as a university in a specific year or time period.
-
B.
foundedAsCampus
Indicates that an institution or organization was originally established as a campus or branch of another entity.
-
C.
foundedAsUniversityAthletics
Indicates that an athletics program was established at the same time as, and as an integral part of, the founding of a university.
-
D.
establishedAsPolytechnicIn
Indicates that an institution was formally designated or founded as a polytechnic in a specific year or at a specific time.
-
E.
foundedWithInstitution
Indicates that an entity was established or created in conjunction with, or through the involvement of, a particular institution.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec321008190b2cc1aca6ab690c4 |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e04ef1c81908bb34ae1cbfab1e6 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:06 p.m.